## Integrate our code OpenAI API import os from constants import openai_key from langchain import PromptTemplate from langchain.chains import LLMChain from langchain.memory import ConversationBufferMemory from langchain.chains import SequentialChain import streamlit as st from langchain_groq import ChatGroq import os os.environ["GROQ_API_KEY"] = openai_key #model = ChatGroq(model="llama3-8b-8192") llm = ChatGroq(model="llama3-8b-8192", temperature=0.8) # streamlit framework st.title('Celebrity Search Results') input_text=st.text_input("Search the topic u want") # Prompt Templates first_input_prompt=PromptTemplate( input_variables=['name'], template="Tell me about celebrity {name}" ) # Memory person_memory = ConversationBufferMemory(input_key='name', memory_key='chat_history') dob_memory = ConversationBufferMemory(input_key='person', memory_key='chat_history') descr_memory = ConversationBufferMemory(input_key='dob', memory_key='description_history') ## OPENAI LLMS #llm=ChatGroq(temperature=0.8) chain=LLMChain( llm=llm,prompt=first_input_prompt,verbose=True,output_key='person',memory=person_memory) # Prompt Templates second_input_prompt=PromptTemplate( input_variables=['person'], template="when was {person} born" ) chain2=LLMChain( llm=llm,prompt=second_input_prompt,verbose=True,output_key='dob',memory=dob_memory) # Prompt Templates third_input_prompt=PromptTemplate( input_variables=['dob'], template="Mention 5 major events happened around {dob} in the world" ) chain3=LLMChain(llm=llm,prompt=third_input_prompt,verbose=True,output_key='description',memory=descr_memory) parent_chain=SequentialChain( chains=[chain,chain2,chain3],input_variables=['name'],output_variables=['person','dob','description'],verbose=True) if input_text: st.write(parent_chain({'name':input_text})) with st.expander('Date Of Birth'): st.info(dob_memory.buffer) with st.expander('Person Name'): st.info(person_memory.buffer) with st.expander('Major Events'): st.info(descr_memory.buffer)